Background: Hepatocellular carcinoma (HCC) has multiple prognostic factors, and there is an increase in knowledge about the body composition and physical status of patients with HCC. The present meta-analysis aimed to explore whether loss of skeletal muscle mass is associated with mortality and tumor recurrence in patients with HCC. Method: A systematic search was conducted for published literature using PubMed, Embase, and Scopus. We included cohort or case-control studies investigating patients with HCC. The primary and secondary outcomes were the associations of loss of skeletal muscle mass with overall survival and tumor recurrence, respectively, expressed by a summary hazard ratio (HR) and 95% confidence interval (CI). Result: A total of 13 studies comprising 3,111 patients were included. The summary HRs calculated by either univariate or multivariate analysis both suggested a significant association between sarcopenia and all-cause mortality (crude HR = 2.04, 95% CI: 1.74-2.38; adjusted HR = 1.95, 95% CI: 1.60-2.37). Similarly, loss of skeletal muscle mass was associated with tumor recurrence (crude HR = 1.85, 95% CI: 1.44-2.37; adjusted HR = 1.76, 95% CI: 1.27-2.45). The stratified analysis showed that treatment types and inclusion of body mass index or body weight in the Cox regression model did not modify both clinical outcomes. With an increase in cut-off values of muscle mass on computed tomography images (especially for male patients), there was an insignificant trend of stronger associations between loss of skeletal muscle mass and all-cause mortality. Conclusion: Loss of skeletal muscle mass is associated with increased all-cause mortality and tumor recurrence in patients with HCC. Further prospective studies incorporating measurements of muscle strength and physical function are warranted to see whether inclusion of both parameters better predicts the outcome than use of muscle mass only.

Primary liver cancer is the sixth most prevalent cancer globally, and hepatocellular carcinoma (HCC) accounts for 80% of the cases, followed by intrahepatic cholangiocarcinoma [1]. HCC has the third highest mortality rate worldwide, with the 5-year survival rate ranging from 10 to 28% [2,3]. Multiple factors are associated with clinical outcomes of HCC, including liver function, tumor site, treatment type, and comorbidity [4,5]. Early detection and referral for curative treatments such as surgical resection and radiofrequency ablation are the most effective approaches to increase the survival of patients. Maintenance of nutritional balance and physical capability is another key element in improving the prognosis in the late cancer stage. In recent years, body composition parameters such as muscle mass and visceral adiposity have been widely investigated for possible roles in influencing clinical outcomes of patients with HCC.

Sarcopenia, defined as a decrease in muscle mass and strength, is an important cause of functional decline and is associated with aging and chronic illness [6]. Multinutrient supplementation as well as resistive strengthening exercise is effective to reverse sarcopenia and subsequent adverse health outcomes [7,8]. Many researchers are currently investigating the relationship between loss of skeletal muscle mass and cancer prognosis [9]. Therefore, the present meta-analysis aimed to explore whether loss of skeletal muscle mass is associated with mortality and tumor recurrence in patients with HCC.

Search Strategy

All literature published until September 2017 was searched using three electronic databases, PubMed, Embase, and Scopus, without language restriction. The reference lists of the retrieved articles and relevant systematic review and meta-analyses were also scrutinized for eligible studies. The following key terms were used for the literature search: [“sarcopenia” or “fragility” or “skeletal muscle”] and [“hepatocellular carcinoma” or “hepatic malignancy” or “liver tumor”] (online suppl. Appendix 1; for all online suppl. material, see www.karger.com/doi/10.1159/000484950).

Study Selection

The retrieved studies were eligible for qualitative and quantitative analysis if they (1) were cohort studies, case-control studies, and follow-ups of clinical trials; (2) investigated patients with HCC; (3) provided measurement of skeletal muscle mass or function; and (4) reported data related to overall survival or recurrence-free survival. The studies were excluded if they (1) probed participants with malignancy other than HCC; (2) only recruited patients with liver cirrhosis but without concomitant liver cancers; and (3) lacked definition of skeletal muscle mass loss for their target population and measurement of prognostic factors related to cancer recurrence or mortality.

Data Extraction and Quality Assessment

Two authors independently extracted the data from the included studies and assessed their quality by using the Newcastle-Ottawa Scale [10,11,12]. The following details were presented in this review: first author's name, year of publication, patients' characteristics, enrolled numbers, sex ratio, muscle mass measurement, definition of skeletal muscle mass loss, subsequent treatment for hepatic malignancy, outcome variables, and adjusted major confounders. The Newcastle-Ottawa Scale was used to evaluate the quality of nonrandomized trials, encompassing three major aspects: (1) selection (representativeness of the exposed cohort, selection of the nonexposed cohort, ascertainment of exposure, and demonstration of outcome of interest), (2) comparability of the cohort, and (3) outcome assessment and duration and adequacy of follow-up. Any discrepancy between both reviewers was resolved by discussion and consensus.

Statistical Analysis

The primary and secondary outcomes were the associations of skeletal muscle mass loss with the overall survival and recurrence-free survival, respectively, expressed by crude and adjusted hazard ratios (HRs). Most of the HRs were derived from univariate and multivariate Cox regression analyses. Some of them were calculated from the numbers at risk shown on the Kaplan-Meier survival plot.

As the severity of included participants might vary across studies, a random effect model was used to calculate the summary HRs, along with a 95% confidence interval (CI) for the association between sarcopenia and overall mortality and tumor recurrence [13]. A sensitivity analysis was performed by eliminating studies that included patients with primary liver malignancy other than HCC. A stratified analysis for the adjusted HRs of the remaining studies that included only patients with HCC was conducted according to difference groups of treatment options and body mass index. The Cochrane Q test and I2 statistics were employed to explore between-study heterogeneity, and an I2 >50 % was considered statistically significant. The Egger test and funnel plots were used to detect potential publication bias [14]. All the calculations were performed using Comprehensive Meta-Analysis Software version 3 (Biostat, Englewood, NJ, USA), with p < 0.05 considered to be statistically significant.

Search Result

Of the 708 records that were identified in the literature search, 18 full-text articles were assessed. We further excluded 5 studies: 1 investigated muscle depletion in patients on the waiting list for liver transplantation but excluded those with HCC [15], 1 was the subgroup analysis of a published cohort study [16], 1 presented with a result inconsistent with its statistical analysis [17], and 2 lacked available data to estimate HRs of the association between sarcopenia and our desired outcomes [18,19]. The final meta-analysis included 13 studies, comprising 3,111 patients (Fig. 1).

Fig. 1

Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram for the study selection process.

Fig. 1

Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram for the study selection process.

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Study Characteristics

Regarding the research design, 12 studies were conducted by retrospectively reviewing the computed tomography (CT) scans and medical records from a preexisting patient cohort, whereas 1 consecutively enrolled patients based on a predesignated protocol [20]. In terms of patient demographic characteristics, female patients accounted for 28.4% of the investigated population and the mean (or median) age of the enrolled patients in each study (or its subgroup) ranged between 57 and 73.9 years. Regarding the pattern of underlying malignancy, 7 studies included patients with resectable HCC [21,22,23,24,25,26,27], 3 included patients with any clinical stage of HCC [20,28,29], 1 included patients with primary liver tumors (69.8% had HCC) [30], 1 included patients with hepatic cancers (50.5% had HCC) undergoing intraarterial therapy [31], and 1 included patients with HCC following sorafenib treatment [32]. The muscle volume was estimated on the transverse CT image at the third lumbar vertebra level in all the selected studies, although the intensity window - (shown by using the Hounsfield scale) for recognizing skeletal muscles and cut-off points for sarcopenia - varied across trials (Table 1). The evaluation of the quality of the included studies is presented in Table 2.

Table 1

Summary of included studies

Summary of included studies
Summary of included studies
Table 2

Quality assessment by using the Newcastle-Ottawa Scale for the included studies

Quality assessment by using the Newcastle-Ottawa Scale for the included studies
Quality assessment by using the Newcastle-Ottawa Scale for the included studies

Overall Survival

Not all the included studies reported HRs of overall survival or available data to compute them. Availability of both outcome measurements is detailed in Table 1. The crude pooled HR of sarcopenia for overall survival from 11 included studies was 2.04 (95% CI: 1.74-2.38) [20,21,22,24,25,26,28,29,30,31,32], while the adjusted summary HR from 10 selected trials was 1.95 (95% CI: 1.60-2.37) (Fig. 2) [20,22,23,24,25,26,29,30,31,32]. The test for heterogeneity was not significant for both pooled values (I2 <0.001 and p value = 0.716 for the crude HRs; I2 = 10.219 and p value = 0.349 for the adjusted HRs). Potential publication bias was detected regarding the adjusted HRs (p value = 0.016 for the Egger's test) but not for crude HRs (p value = 0.100 for the Egger's test). The funnel plot of the above-mentioned variables is shown in online suppl. Appendix II. We also imputed the potential unpublished studies in the funnel plot regarding adjusted HRs (by using the function of trim and fill of the statistical software). The pooled HR decreased from 1.95 (95% CI: 1.60-2.37) to 1.66 (95% CI: 1.33-2.07) (online suppl. Appendix III). A sensitivity analysis was performed by eliminating 2 articles that included patients with primary liver malignancy other than HCC [30,31]. The crude and adjusted HRs became 2.09 (95% CI: 1.78-2.47) and 2.11 (95% CI: 1.66-2.69), respectively.

Fig. 2

Forest plot of the crude (a) and adjusted (b) associations between sarcopenia and all-cause mortality in patients with hepatocellular carcinoma.

Fig. 2

Forest plot of the crude (a) and adjusted (b) associations between sarcopenia and all-cause mortality in patients with hepatocellular carcinoma.

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We further performed a stratified analysis for the adjusted HRs of the remaining studies that included only patients with HCC. We did not find the subsequent treatment (curative therapy vs. palliative treatment) to be a significant effect modifier for the association between loss of skeletal muscle mass and overall survival. The curative therapy included hepatectomy, radiofrequency ablation, and liver transplantation, whereas the palliative treatment comprised intraarterial chemoembolization and systemic chemotherapy. Another stratified analysis was conducted based on whether body mass index or body weight was included in the multivariate Cox regression models. We found that the summary HRs appeared similar in both groups with and without adjustment for body mass index (Fig. 3). Because the cut-off points for skeletal muscle mass loss varied among studies, we categorized them into three groups: group 1: 36.0-36.2 cm2/m2 for men, 29.0-29.6 cm2/m2 for women; group 2: 43-46.4 cm2/m2 for men, 37.6-41.1 cm2/m2 for women; and group 3: 52.0-52.4 m2/m2 for men, 38.5-39.5 cm2/m2 for women. With the increase in the threshold values for skeletal muscle mass loss, the associations between sarcopenia and overall mortality became stronger, although the trend was not statistically significant (Fig. 4).

Fig. 3

Forest plot of the stratified analysis for the adjusted association between sarcopenia and all-cause mortality based on treatment type (a) and inclusion of body mass index (BMI) or weight (b) in the multivariate analysis.

Fig. 3

Forest plot of the stratified analysis for the adjusted association between sarcopenia and all-cause mortality based on treatment type (a) and inclusion of body mass index (BMI) or weight (b) in the multivariate analysis.

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Fig. 4

Forest plot of the stratified analysis for the adjusted association between sarcopenia and all-cause mortality based on cut-off values of muscle cross-sectional area on computed tomography images (group 1: 36.0-36.2 cm2/m2 for men, 29.0-29.6 cm2/m2 for women; group 2: 43-46.4 cm2/m2 for men, 37.6-41.1 cm2/m2 for women; group 3: 52.0-52.4 m2/m2 for men, 38.5-39.5 cm2/m2 for women).

Fig. 4

Forest plot of the stratified analysis for the adjusted association between sarcopenia and all-cause mortality based on cut-off values of muscle cross-sectional area on computed tomography images (group 1: 36.0-36.2 cm2/m2 for men, 29.0-29.6 cm2/m2 for women; group 2: 43-46.4 cm2/m2 for men, 37.6-41.1 cm2/m2 for women; group 3: 52.0-52.4 m2/m2 for men, 38.5-39.5 cm2/m2 for women).

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Recurrence-Free Survival

Likewise, not all the included studies reported crude and adjusted HRs of tumor recurrence or had available data to estimate them (refer to Table 1 for availability of both outcome variables). The crude pooled HR of skeletal muscle mass loss for recurrence-free survival from 6 studies was calculated to be 1.85 (95% CI: 1.44-2.37) [21,22,24,26,27,28], while the adjusted summary HR from 4 selected trials was 1.76 (95% CI: 1.27-2.45) (Fig. 5) [22,23,26,27]. The test for heterogeneity was not significant for both pooled values (I2 < 0.001 and p value = 0.577 for the crude HRs; I2 = 43.85 and p value = 0.148 for the adjusted HRs). No potential publication bias was detected regarding the crude (p value = 0.602 for the Egger's test) and adjusted HRs (p value = 0.250 for the Egger's test). The funnel plot of above-mentioned variables was shown in online supplementary Appendix II. The stratified analysis was not performed owing to the small number of studies reporting on tumor recurrence.

Fig. 5

Forest plot of the crude (a) and adjusted (b) associations between sarcopenia and mortality and tumor recurrence in patients with hepatocellular carcinoma.

Fig. 5

Forest plot of the crude (a) and adjusted (b) associations between sarcopenia and mortality and tumor recurrence in patients with hepatocellular carcinoma.

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The relationship between loss of skeletal muscle mass and survival in patients with HCC was systematically assessed in this meta-analysis. Our study showed that sarcopenia was associated with an increase in all-cause mortality and the association remained after adjustment of confounders. Furthermore, patients with sarcopenia had a higher risk of tumor recurrence, consistently reflected by both crude and adjusted HRs. Additionally, the magnitude of association between skeletal muscle mass loss and all-cause mortality might change at the different cut-off values for skeletal muscle volume.

Sarcopenia is associated with many adverse outcomes including impaired cognition, depression, risks of fall, higher incidence of hospitalization, and mortality [10,11,33,34]. In 2016, a meta-analysis of 10 studies demonstrated how patients with sarcopenia had an increased rate of mortality [35]. The target population of the study was miscellaneous, comprising community-dwelling residents and patients (1) after cystectomy, (2) being hospitalized due to acute illness, (3) diagnosed with pancreatic cancer, and (4) diagnosed with breast cancer. Another meta-analysis based on 38 studies demonstrated how a lower skeletal muscle index in adults was associated with poor overall survival [9]. Furthermore, this study investigated various kinds of malignancies and found that the association between sarcopenia and mortality might vary among different tumor types and across disease severity. Recently, there has been an increase in the number of studies investigating the prognostic factors in patients with HCC. We felt it crucial to separately summarize and analyze the association between loss of skeletal muscle mass and survival in patients with HCC as well as possible confounding factors.

Incorporating the latest evidence published in 2017, our meta-analysis showed that loss of skeletal muscle mass was associated with an increase in all-cause mortality in patients with HCC. The association was also independent of other prognostic factors such as age, sex, tumor size, cancer stage, and liver function. The pathogenesis of increased mortality in patients with sarcopenia remains uncertain. A commonly postulated mechanism is related to the decreased secretion of certain cytokines such as insulin-like growth factor (IGF)-1 from reduced skeletal muscle mass. IGF-1 plays an important role in the growth of various organs, and its decrease in serum was significantly correlated with advanced clinicopathological parameters of HCC [36,37]. Sarcopenia is also linked to several proteolytic cascades such as the tumor necrosis factor (TNF)-α system [38]. TNF-α may promote tumor migration and invasion and is related to metastasis in HCC [38]. Nevertheless, it is unclear whether the increase in mortality may be a consequence of cancer-related cachexia rather than sarcopenia. Although skeletal muscle mass loss is a feature of cachexia, patients with cachexia tend to lose their weight more than those with sarcopenia [39]. Therefore, we separately analyzed adjusted HRs of all-cause mortality in the groups with and without adjustment of body mass index or body weight and found that the summary HRs appeared similar in both groups. Based on this finding, we believe that an independent association existed between loss of skeletal muscle mass and overall survival and was not merely a subcomponent of cachexia.

Hepatic resection and radiofrequency ablation are used as curative management for patients with early HCC. Our study revealed that loss of skeletal muscle mass was associated with an increased risk of tumor recurrence after curative therapy. The prognostic factors of tumor recurrence include age, sex, tumor size, histological grades, vascular invasion, and the stage of the background liver condition (cirrhosis) [5]. Similar to the relationship between sarcopenia and all-cause mortality, the mechanism for a higher recurrence rate in the sarcopenia group remains poorly understood. We believe that dysregulation of the cytokine system must play a vital role, which leads to carcinogenesis and distant metastasis. Another speculation is that sarcopenia might be an adverse consequence of liver cirrhosis, which results in an imbalance between protein synthesis and degradation [40]. Liver cirrhosis was found to be an independent factor of late recurrence, which is mainly caused by second primary lesions due to increased carcinogenicity of the affected liver [41]. Therefore, the link between skeletal muscle mass loss and tumor recurrence might be the byproduct of liver cirrhosis.

In the present meta-analysis, loss of skeletal muscle mass was defined by reviewing the transverse CT images obtained before the treatments for HCC or upon the diagnosis of HCC and estimating the muscle mass from outlining the cross-sections of multiple regions (the psoas, erector spinae, quadratus lumborum, transverse abdominis, external and internal oblique abdominal and rectus abdominis muscles). Compared with the diagnostic algorithm proposed by the European Working Group on Sarcopenia in Older People (EWGSOP) and Asian Working Group for Sarcopenia (AWGS) [42,43], the method to define sarcopenia in our enrolled studies did not measure muscle strength or physical function. This is because most of the included studies employed a retrospective design and did not include both measurements at the data collection stage. A notable finding was that the diagnostic criteria for skeletal muscle mass loss varied across studies. We also found that with an increase in cut-off values of muscle mass (especially for male patients), there was an insignificant trend of stronger associations between skeletal muscle mass loss and all-cause mortality. This might reflect that the inclusion of patients with mild skeletal muscle mass loss (defined by a higher cut-off point) was even more strongly associated with poor survival. Therefore, a prospective study is warranted for identifying an appropriate threshold of sarcopenia for the prediction of mortality in HCC patients.

The mainstream treatment of skeletal muscle atrophy is exercise and protein supplement. Future studies of exercise and nutrition treatments on HCC and chronic liver disease are warranted since loss of skeletal muscle mass is the independent predictor of prognosis of HCC. In fact, there is some evidence showing that regular aerobic exercise decreased liver tumor development in a mice model [44], and branched-chain amino acid supplement was associated with less skeletal muscle atrophy in patients with HCC [45]. Besides, since most cases with HCC developed in patients with chronic liver disease, in which muscle volume loss and muscle strength decrease, we should evaluate the muscle mass and strength and treat with exercise and nutritional supplement not only in patients with chronic liver disease but also in those with HCC [45].

There are several limitations to the current meta-analysis. First, the cancer stages of the included patients varied among studies. As the treatment types might partially reflect the disease severity (curative and palliative treatments for early and late stages, respectively), we performed a stratified analysis based on therapeutic approaches, which revealed no influence on the association between loss of skeletal muscle mass and mortality. However, the stratified analysis could not be conducted based on individual treatments because the outcomes of different treatment arms were not reported in each study. Second, because death or tumor recurrence usually occurs after some time, the event rates might be underestimated in the case of a short follow-up period. However, the follow-up durations varied among studies and were not defined in some of them, both of which might potentially influence our outcomes. Third, a potential publication bias was detected regarding the adjusted HRs of loss of skeletal muscle mass for overall survival. We speculated that it was derived from heterogeneity of the adjusted factors across the included studies, which led to asymmetrical distribution of estimated effects on the funnel plot. In addition, since there were various criteria to define sarcopenia, the prevalence of sarcopenia might vary in studies using different diagnostic protocols, leading to heterogeneity during the pooled analysis. Nevertheless, we believed the publication bias did not have a significant influence on our observation, because the statistical significance between both medical conditions remained after imputing unpublished researches into the funnel plot. Fourth, regarding grouping the cut-off values for skeletal muscle mass loss, there was an overlap of the ranges between group 2 and group 3 in female patients with HCC, which might explain why the trend of an increased association between loss of skeletal muscle mass and all-cause mortality was insignificant with the increase in the threshold values for skeletal muscle mass loss. Fifth, although liver cirrhosis might be a key factor to mediate overall survival and tumor recurrence between HCC and loss of skeletal muscle mass, not all the included studies specified the condition of liver cirrhosis in their patients. Therefore, we were not able to perform a stratified analysis based on the presence of liver cirrhosis in the present meta-analysis. Sixth, not all included studies reported overall and recurrence-free survival, although both outcomes are paramount in research in oncology. If the study lacked the data on recurrence-free survival, this might indicate a negative result regarding the association between tumor recurrence and the factor investigated. This could lead to another publication bias, and the finding should be carefully interpreted.

In conclusion, loss of skeletal muscle mass is associated with an increase in all-cause mortality and tumor recurrence in patients with HCC. The association between loss of skeletal muscle mass and survival is not modified by treatment options but might vary according to different cut-off points of muscle mass on transverse CT images. Considering the study limitations, further prospective studies incorporating measurements of muscles strength and physical function are warranted to determine whether inclusion of both parameters better predicts the outcome compared with the use of muscle mass only.

The authors declare no conflicts of interest.

The study was made possible by the research funding of the Community and Geriatric Medicine Research Center, National Taiwan University Hospital, Bei-Hu Branch.

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